Showing 811-820 of 843 Results
Associate Professor of Urology at the Stanford University Medical Center
Current Research and Scholarly InterestsI am interested in how the brain matures to control the bladder and external sphincter to achieve urinary continence. Using functional MRI of the brain, we are investigating if certain patterns of activity will predict which children will respond to therapy for incontinence.
Joseph C. Wu
Simon H. Stertzer, MD, Professor and Professor of Radiology
Current Research and Scholarly InterestsDrug discovery, drug screening, and disease modeling using biobank of cardiac iPSC lines.
Joy Wu, MD, PhD
Assistant Professor of Medicine (Endocrinology)
Current Research and Scholarly InterestsMy laboratory focuses on the pathways that regulate the differentiation of mesenchymal stem cells into the osteoblast and adipocyte lineages. We are also studying the role of osteoblasts in the hematopoietic stem cell niche and B lymphocyte development in the bone marrow microenvironment.
Sean M. Wu, MD, PhD, FACC
Associate Professor of Medicine (Cardiovascular Medicine) and, by courtesy, of Pediatrics
Current Research and Scholarly InterestsMy lab seeks to identify mechanisms regulating cardiac lineage commitment during embryonic development and the biology of cardiac progenitor cells in development and disease. We believe that by understanding the transcriptional and epigenetic basis of cardiomyocyte growth and differentiation, we can identify the most effective ways to repair diseased adult hearts. We employ mouse and human embryonic and induced pluripotent stem cells as well as rodents as our in vivo models for investigation.
Courtney Wusthoff, MD
Assistant Professor of Neurology and, by courtesy, of Pediatrics (Neonatology) at the Stanford University Medical Center
Current Research and Scholarly InterestsMy projects focus on clinical research in newborns with, or at risk, for brain injury. I use EEG in at-risk neonates to better understand the underlying pathophysiology of risk factors that may lead to worse outcomes. I am particularly interested in neonatal seizures and how they may exacerbate perinatal brain injury with a goal to identify treatments that might protect the vulnerable brain. I am also interested in EEG in other pediatric populations, as well as medical ethics and global health.
Professor of Chemical and Systems Biology and of Developmental Biology
Current Research and Scholarly InterestsThe precise and robust regulation of gene expression is a cornerstone for complex biological life. Research in our laboratory is focused on understanding how regulatory information encoded by the genome is integrated with the transcriptional machinery and chromatin context to allow for emergence of form and function during human embryogenesis and evolution, and how perturbations in this process lead to disease.
Tony Wyss-Coray, PhD
Professor of Neurology
Current Research and Scholarly InterestsUse of genetic and molecular tools to dissect immune and inflammatory pathways in Alzheimer's and neurodegeneration.
Assistant Professor of Chemistry
Current Research and Scholarly InterestsOrganic Chemistry, Polymer Chemistry, Organic Optoelectronic Materials, Microporous Polymers, Responsive Polymers, Polymer Networks, Self-Assembly
Jacob Haimson Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsImage-guided intervention, MR spectroscopic imaging (MRSI) and radionuclide imaging (PET/CT, SPECT/CT), biologically conformable radiation threapy (BCRT), intensity modulated radiation therapy (IMRT), treatment plan optimization, optimization of stereotactic radiosurgery, image segmentation and deformable image registration, application of molecular imaging to radiation oncology.
Assistant Professor of Psychology and, by courtesy, of Computer Science
Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:
H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.
H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.
We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.